[jira] [Created] (BEAM-12388) Improve caching experience on InteractiveRunner with dataframes

["Sam Rohde (Jira)" <ji...@apache.org>]

Sam Rohde created BEAM-12388:
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             Summary: Improve caching experience on InteractiveRunner with dataframes
                 Key: BEAM-12388
                 URL: https://issues.apache.org/jira/browse/BEAM-12388
             Project: Beam
          Issue Type: Improvement
          Components: runner-py-interactive
            Reporter: Sam Rohde
            Assignee: Sam Rohde


Reusing the default label for to_pcollection when using the interactive runner results in caching errors when used with multiple pipelines:

 

 

{{Traceback (most recent call last):
  File "/home/srohde/Workdir/beam/sdks/python/apache_beam/runners/interactive/interactive_runner_test.py", line 389, in test_dataframes_with_multi_index_get_result
    pd.testing.assert_series_equal(df_expected, ib.collect(deferred_df, n=10))
  File "/home/srohde/Workdir/beam/sdks/python/apache_beam/runners/interactive/utils.py", line 247, in run_within_progress_indicator
    return func(*args, **kwargs)
  File "/home/srohde/Workdir/beam/sdks/python/apache_beam/runners/interactive/interactive_beam.py", line 579, in collect
    recording = recording_manager.record([pcoll], max_n=n, max_duration=duration)
  File "/home/srohde/Workdir/beam/sdks/python/apache_beam/runners/interactive/recording_manager.py", line 433, in record
    self._watch(pcolls)
  File "/home/srohde/Workdir/beam/sdks/python/apache_beam/runners/interactive/recording_manager.py", line 306, in _watch
    for pcoll in to_pcollection(*watched_dataframes, always_return_tuple=True):
  File "/home/srohde/Workdir/beam/sdks/python/apache_beam/dataframe/convert.py", line 196, in to_pcollection
    new_results = {p: extract_input(p)
  File "/home/srohde/Workdir/beam/sdks/python/apache_beam/transforms/ptransform.py", line 1086, in __ror__
    return self.transform.__ror__(pvalueish, self.label)
  File "/home/srohde/Workdir/beam/sdks/python/apache_beam/transforms/ptransform.py", line 587, in __ror__
    raise ValueError(
ValueError: Mixing value from different pipelines not allowed.}}



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